Ikuti
Federico Reuben
Federico Reuben
Associate Professor, University of York
Email yang diverifikasi di york.ac.uk - Beranda
Judul
Dikutip oleh
Dikutip oleh
Tahun
Telematic performance and the challenge of latency
M Rofe, F Reuben
Journal of Music, Technology & Education 10 (2-3), 167-183, 2017
392017
Deep learning’s shallow gains: a comparative evaluation of algorithms for automatic music generation
Z Yin, F Reuben, S Stepney, T Collins
Machine Learning 112 (5), 1785-1822, 2023
312023
“Beauty is how you feel inside”: Aesthetic judgments are related to emotional responses to contemporary music
H Egermann, F Reuben
Frontiers in Psychology 11, 510029, 2020
282020
Imaginary Musical Radicalism and the Entanglement of Music and Emancipatory Politics
F Reuben
Contemporary Music Review 34 (2-3), 232-246, 2015
182015
“A Good Algorithm Does Not Steal–It Imitates”: The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much
Z Yin, F Reuben, S Stepney, T Collins
Artificial Intelligence in Music, Sound, Art and Design: 10th International …, 2021
162021
Designing a system for Online Orchestra: Computer hardware and software
D Prior, I Biscoe, M Rofe, F Reuben
Journal of Music, Technology & Education 10 (2-3), 185-196, 2017
142017
Measuring when a music generation algorithm copies too much: The originality report, cardinality score, and symbolic fingerprinting by geometric hashing
Z Yin, F Reuben, S Stepney, T Collins
SN Computer Science 3 (5), 340, 2022
92022
On Violence
F Reuben
32012
Reworking musical strategies in the digital age
F Reuben
32011
Interaction between aesthetic judgement and emotional processing: Studying a concert audience listening to contemporary music
HW Egermann, F Reuben, CA McCall
25th Anniversary Conference of the European Society for the Cognitive …, 2017
12017
Reevaluating Musical Modernism through Rancière’s Notion of Aesthetics
F Reuben
Sonic Ideas/Ideas Sónicas 6 (12), 61-71, 2014
12014
Check for updates" A Good Algorithm Does Not Steal-It Imitates": The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much
Z Yin¹, F Reuben, S Stepney¹, T Collins
Artificial Intelligence in Music, Sound, Art and Design: 10th International …, 2021
2021
6d696b75474f44
F Reuben, N Luck
2018
AI LOVEs2scream
F Reuben, P Owczarek
Federico Reuben/Paulina Owczarek/James Mainwaring/Radek Rudnicki, 2017
2017
(sweet-ERROR: miku)-βv.
F Reuben, N Luck, A de la Cour
Sounds Between: Exploring interdisciplinary encounters in music composition, 2016
2016
The Online Orchestra: Systems Design for Distributed Network Performance of Orchestral Music
F Reuben
2016 Network Performing Arts Production Workshop, 2016
2016
The Online Orchestra:: Latency in Network Performance
F Reuben
Performance Studies Network Conference 2016, 2016
2016
Singing Arcs: Sounding the Early History of Electronic Music
F Reuben, A Kolkowski
Alternative Histories of Electronic Music, 2016
2016
Singing Arcs: Sounding the Early History of Electronic Music
A Kolkowski, F Reuben
University of Leeds, 2016
2016
Online Orchestra Performance
M Rofe, J Hargreaves, J Pickard, D Prior, J Aitchison, I Biscoe, ...
onlineorchestra. com, 2015
2015
Sistem tidak dapat melakukan operasi ini. Coba lagi nanti.
Artikel 1–20